Job Title
Intermediate Trade Execution Engineer - Crypto Quant Fund

Job Description

We are a stealth hedge fund spinup emerging from a major cryptocurrency brand and venture capital firm. You will be working directly under myself — the fund’s quantitative researcher and model developer — to build, maintain, and scale the trading infrastructure, with a focus on execution, order management, and system reliability.

Core Responsibilities

Design and implement trade execution pipelines — from order creation to lifecycle management (fills, cancellations, reconciliation, error handling).
Build and maintain real-time trading infrastructure for medium-frequency systematic strategies.
Integrate exchange APIs (REST / WebSocket) for multiple venues and asset classes.
Develop and manage risk and position monitoring systems that interact with live strategies.
Collaborate with the quant (myself) to connect predictive model outputs into production execution systems.
Build robust simulation and backtesting bridges between research and live environments.
Maintain data pipelines and microservices supporting live and historical trading operations.
Ensure low-latency, fault-tolerant, and auditable trade flow across systems.
Participate in deployment and system monitoring, including logging, alerting, and recovery.

Restrictions

Telecommuting is OK
Agencies are OK

Requirements

Software Development

Python: strong understanding of async programming, multiprocessing, and performance optimization.
Experience with WebSocket clients, REST APIs, and exchange integrations (crypto or traditional).
Backend / Systems Engineering: strong knowledge of networking, databases (SQL/NoSQL/in-memory), and containerized deployment (Docker, Linux).
Familiarity with microservice architectures and message passing systems (ZeroMQ, Kafka, Redis streams, etc.).
Strong understanding of version control (Git/GitHub) and deployment workflows.

Trading Infrastructure

Knowledge of order types, fills, execution algorithms, slippage, and latency management.
Experience building or maintaining OMS/EMS systems (custom or off-the-shelf).
Understanding of risk limits, position reconciliation, and PnL tracking.
Familiarity with live trading constraints, e.g., rate limits, timeouts, connection reliability.
Ability to design robust recovery and replay logic for live trade sessions.

Quantitative / Market Awareness

Familiar with how quantitative trading models work (you’ll be integrating them, not building them).
Understanding of market microstructure, liquidity, and order book dynamics.
Comfortable reading model signals and ensuring execution logic aligns with trading intent.

Preferred / Nice-to-Have

Prior work in crypto, DeFi, or exchange connectivity.
Experience writing Cython, Rust, or C++ for performance-critical modules.
Experience deploying cloud-native systems (AWS, GCP, or bare-metal Linux).
Contributions to open-source trading, infrastructure, or quant frameworks.
Experience implementing backtest/live parity testing frameworks.

Personality & Work Ethic

Systems thinker with an eye for reliability and automation.
Curious, disciplined, and calm under production pressure.
Detail-oriented and rigorous with testing and documentation.
Comfortable working remotely and asynchronously in a fast-paced, technically demanding environment.

About the Company

We are a US-based hedge fund / quant desk spinout from a prominent crypto venture fund and brand, building a next-generation quantitative trading operation at the intersection of crypto and traditional markets. More details will be provided during the interview.

Contact Info